code: def test_integer_validator_numeric_xarray(
      integer_validator, numeric_xarray
  ):
      res = integer_validator.validate_coerce(numeric_xarray)
  
      # Check type
      assert isinstance(res, np.ndarray)
  
      # Check dtype
      if numeric_xarray.dtype.kind in ("u", "i"):
          # Integer and unsigned integer dtype unchanged
          assert res.dtype == numeric_xarray.dtype
      else:
          # Float datatypes converted to default integer type of int32
          assert res.dtype == "int32"
  
      # Check values
      np.testing.assert_array_equal(res, numeric_xarray)
  
file_path: plotly.py/packages/python/plotly/_plotly_utils/tests/validators/test_xarray_input.py
imports: import pytest
  import numpy
  import xarray
  import datetime
  from _plotly_utils.basevalidators import NumberValidator, IntegerValidator, DataArrayValidator, ColorValidator
label_desc: Use image node_id 10 for calling a global function with example usage: test_integer_validator_numeric_xarray(integer_validator, numeric_xarray) without return types